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Information Technology 🏢 Full Time ⭐️ Verified

2026 AI Infrastructure Architect

QuantumLeap Technologies
San Francisco
Estimated Salary
USD 180.000 – USD 250.000
New
Live Update
17 Mei 2026
Deadline
17 Mei 2027

Job Description

Join QuantumLeap Technologies at the forefront of technological evolution as we pioneer the next generation of AI infrastructure for 2026. We seek a visionary AI Infrastructure Architect to design and implement scalable, quantum-resistant systems that will power humanity's most groundbreaking innovations. This role offers unparalleled opportunities to shape the future of artificial intelligence while working alongside Nobel laureates and industry pioneers.

Our state-of-the-art San Francisco headquarters offers collaborative workspaces, cutting-edge labs, and comprehensive benefits including equity packages, unlimited PTO, and wellness stipends. You'll contribute to projects that directly impact global sustainability initiatives and democratize access to advanced AI capabilities.

Responsibilities

  • Design quantum-resistant AI infrastructure supporting 10M+ concurrent users
  • Architect federated learning systems across 50+ global data centers
  • Develop ethical AI governance frameworks aligned with 2026 regulatory standards
  • Lead implementation of neuromorphic computing solutions for real-time inference
  • Optimize energy-efficient AI training pipelines achieving 70% carbon reduction
  • Coordinate with quantum computing teams for hybrid AI-quantum workflows
  • Document infrastructure blueprints using next-gen AR visualization tools

Qualifications

  • 15+ years in distributed systems architecture with 5+ years in AI/ML infrastructure
  • Expertise in quantum-resistant cryptography and post-quantum algorithms
  • Proven track record scaling infrastructure to petabyte-scale AI workloads
  • Deep knowledge of neuromorphic computing and photonic processors
  • Advanced certifications in Kubernetes, Terraform, and cloud-native security
  • Experience with federated learning frameworks and differential privacy
  • Published research in top-tier AI/ML conferences (NeurIPS, ICML)
  • Strong background in ethical AI development and responsible innovation

Required Skills

Quantum Computing Neuromorphic Systems Federated Learning Post-Quantum Cryptography Kubernetes Terraform Ethical AI Scalable Architecture Photonics Differential Privacy

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